CAD MODEL OF PATIENT SPECIFIC PORTAL VEIN FOR ANALYSIS OF LIVER DISORDER

Recent days Computer-aided design and image processing techniques are one of the most emerging useful tools for analysis of models in various medical, industrial and research areas. In medical field for the diagnosis of various diseases in vivo techniques including biochemical test, enzymatic tests are needed for continuous monitoring of patients. These diagnosis procedures are time consuming and inconvenient for patients. Therefore Computer assisted designing and image processing techniques are most promising non invasive tools for faster diagnosis and useful tool for designing of biomedical implants. In this paper portal vein was segmented from patient’s Liver computed tomography (CT) image by dedicated software. A Liver’s CT image of 38 year old Indian male patient’s was collected and by using imaged based software MIMICS (Materialise’s Interactive Medical Image Control System, Belgium) 3D model of HPV (hepatic portal vein) was obtained and Solid Work Professional (Dassault Systems Solid Works Corporation, USA) software was used for designing of normal portal vein’s 3D model and various portal vein diseased models including minor right portal vein thrombosis ( 19- 20% reduction in medial region of vein), severe right portal vein thrombosis (20-22% reduction in medial and distal region of vein), minor left portal vein thrombosis (19-20% reduction in medial region of vein, severe right portal vein thrombosis(20-22% reduction in medial and distal region of vein), left aneurysm (150-200 % increase of medial region).These models can be used for designing for implants and analysis of portal vein’s disorder like portal thrombosis, and portal aneurysm which are main cause of portal hypertension and also useful for surgeon for planning surgery and also helpful for understanding of portal vein hemodynamic (pressure, velocity, wall shear force

A Hybrid Group Acceptance Sampling Plan for Lifetimes Based on Gamma, Exponentiated Log - Logistic and Marshall - Olkin extended exponential Distributions

In this paper we have developed a hybrid group acceptance sampling plan for a truncated life test when the lifetime of an item follows gamma distribution, exponentiated log - logistic distribution and Marshall - Olkin extended exponential distribution. The minimum number of testers and acceptance number are determined when the consumer's risk and the test termination time and group size are specified. The operating characteristic values according to various quality levels are also obtained

A Group Acceptance Sampling Plan for Weighted Binomial on Truncated Life Tests Using Exponential and Weibull Distributions

In this paper, a group acceptance sampling plan using weighted binomial is developed for a truncated life test when the lifetime of an item follows exponential and Weibull distributions. The minimum number of groups required for a given group size and the acceptance number is determined when the consumers risk and the test termination time are specified. The operating characteristic values according to various quality levels are obtained. The results are explained with examples

A Two Stage Group Acceptance Sampling Plans Based on Truncated Life Tests Using Log-Logistic and Gamma Distributions

In this paper,  a two stage group acceptance sampling plan is developed for a truncated life test when the lifetime of an item follows Log – Logistic and Gamma distributions. The minimum number of groups required for a given group size and the acceptance number is determined when the consumer’s risk and the test termination time are specified. The operating characteristic values according to various quality levels are obtained. The results are explained with examples

A Conditional Repetitive Group Sampling Plan for Truncated Life Tests Using Log - Logistic, Exponentiated Log - Logistic, Rayleigh and Inverse Rayleigh Distributions

In this paper, a conditional repetitive group acceptance sampling plan is developed for a truncated life test when the lifetime of an item follows different lifetime distributions. Sample sizes required for the acceptance numbers are determined when the consumer’s risk and the test termination time are specified. The operating characteristic values according to various quality levels are obtained. The results are explained with examples

Screening of seaweed extracts against antibiotic resistant post operative infectious pathogens

Fifty five seaweed extracts belonging to 11 species of seaweeds were tested against post operative infectious drug resistant bacteria viz., E. coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Streptococcus pyogens, Staphylococcus aureus. Among the seaweed extracts, the acetone extracts of Caulerpa cupressoides shows maximum inhibtory activity against E. coli and propanol extracts of Gracilaria edulis shows maximum inhibitory effect against K. pneumoniae. Acetone extracts of Padina tetrastromatica and Laurencia cruciata show maximum inhibitory activity against P. aeruginosa, butanol extracts of Hypnea musciformis, Caulerpa cupressoides and Chaetomorpha linoides show maximum inhibitory effect against S. aureus

Evaluation of Low Bone Mineral Mass Using a Combination of Peripheral Bone Mineral Density and Total Body Composition Variables by Neural Network

AbstractThe aim of this work was to evaluate low bone mass using the feed-forward neural network (NN) with good accuracy taking into account the forearm and heel bone mineral density (BMD) as well as total body composition variables. A total number of 162 subjects including 88 women (mean ± SD age = 37.7 ± 15.2 years) and 74 men (mean ± SD age=31.3 ± 10.9 years) were studied. In each subject, BMD (g cm-2) at forearm and heel using peripheral dual-energy X-ray absorptiometry (pDXA) and total body composition variables by multifrequency bioelectrical impedance analyzer were measured. The measured forearm BMD was used to estimate femur neck BMD by DXA using the published formula. Based on its T-score value, subjects were classified as normal and low bone mineral mass groups separately. In women, it was found that the forearm BMD was positively correlated with body fat percentage (r=0.327; p<0.001). It was observed that 27% of women and 15% of men were affected by low bone mass. In the NN modelling, the following 10 measured variables were used in men and women separately: i) BMI ((kg/m2); ii) average forearm BMD (g/cm2); iii) average heel BMD (g/cm2); iv) body fat (%); v) muscle mass (kg); vi) visceral fat index; vii) bone mineral mass (kg); viii) total body water, TBW (%); ix) basal metabolic rate, BMR (kCal); and x) metabolic age (years). Analysis of low bone mineral mass evaluation using NN projected an accuracy of 87.5% and 85.1% in women and men population, respectively. With the aid of BMD at peripheral skeletal sites and total body composition variables, low bone mass can be evaluated with good accuracy

Community-Specific BMI Cutoff Points for South Indian Females

Objective. To analyze multiparameters related to total body composition, with specific emphasis on obesity in South Indian females, in order to derive community-specific BMI cutoff points. Patients and Methods. A total number of 87 females (of age 37.33 ± 13.12 years) from South Indian Chennai urban population participated in this clinical study. Body composition analysis and anthropometric measurements were acquired after conducting careful clinical examination. Results. BMI demonstrated high significance when normal group (21.02 ± 1.47 kg/m2) was compared with obese group (29.31 ± 3.95 kg/m2), P < 0.0001. BFM displayed high significance when normal group (14.92 ± 4.28 kg) was compared with obese group (29.94 ± 8.1 kg), P < 0.0001. Conclusion. Community-specific BMI cutoffs are necessary to assess obesity in different ethnic groups, and relying on WHO-based universal BMI cutoff points would be a wrong strategy

Evaluation of Mammary Cancer in 7,12-Dimethylbenz(a)anthracene-Induced Wister Rats by Asymmetrical Temperature Distribution Analysis Using Thermography: A Comparison with Serum CEA Levels and Histopathology

Animal surface temperature profile captured using infrared camera is helpful for the assessment of physiological responses associated with the regulation of body temperature. Diagnosing breast cancer in early stage itself has a greater effect on the prognosis. In this work, asymmetrical temperature distribution analysis of chemical carcinogen 7,12-dimethyl benz(a)anthracene-induced in the lower right flank region of Wistar rats (n=6) was carried out to test the potential of thermography in diagnosing mammary cancer and tumor growth over a period of nine weeks in comparison with histopathology results as standard. Temperature difference between the tumor induced lower right and left side of flank region was significant (with P value <0.001), whereas in the abdomen and shoulder there was no significant difference in temperature between right and left sides. Percentage of asymmetrical temperature difference in the tumor induced lower flank region was 0.5 to 2%, whereas in the other regions it was <0.5%. Green pixel distribution in RGB color histogram was asymmetrical in the tumor induced lower flank region. Temperature reduction was observed in the tumor induced region after the seventh day of carcinogen induction. Asymmetrical thermogram analysis is the best method of diagnosing mammary cancer and for studying tumor development

Potential impacts of offshore oil and gas activities on deep-sea sponges and the habitats they form

Sponges form an important component of benthic ecosystems from shallow littoral to hadal depths. In the deep ocean, beyond the continental shelf, sponges can form high-density fields, constituting important habitats supporting rich benthic communities. Yet these habitats remain relatively unexplored. The oil and gas industry has played an important role in advancing our knowledge of deep-sea environments. Since its inception in the 1960s, offshore oil and gas industry has moved into deeper waters. However, the impacts of these activities on deep-sea sponges and other ecosystems are only starting to become the subject of active research. Throughout the development, operation and closure of an oil or gas field many activities take place, ranging from the seismic exploration of subseafloor geological features to the installation of infrastructure at the seabed to the drilling process itself. These routine activities and accidental releases of hydrocarbons during spills can significantly impact the local marine environment. Each phase of a field development or an accidental oil spill will therefore have different impacts on sponges at community, individual and cellular levels. Legacy issues regarding the future decommissioning of infrastructure and the abandonment of wells are also important environmental management considerations. This chapter reviews our understanding of impacts from hydrocarbon exploration and exploitation activities on deep-sea sponges and the habitats they form. These impacts include those (1) at community level, decreasing the diversity and density of benthic communities associated with deep-sea sponges owing to physical disturbance of the seabed; (2) at individual level, interrupting filtration owing to exposure to increased sedimentation; and (3) at cellular level, decreasing cellular membrane stability owing to exposure to drill muds. However, many potential effects not yet tested in deep-sea sponges but observed in shallow-water sponges or other model organisms should also be taken into account. Furthermore, to the best of our knowledge, no studies have shown impact of oil or dispersed oil on deep-sea sponges. To highlight these significant knowledge gaps, a summary table of potential and known impacts of hydrocarbon extraction and production activities combined with a simple “traffic light” scheme is also provided